Advances in Intelligent Computing and Communication Technology

VTRWC-Net: An Intelligent Pharmaceutical and Biomedical Residual Waste Management Framework: Integrating Vision Transformer with Recommendation System. Innovations, Interdisciplinary Challenges and Future Directions in Harnessing AI for Criminal Justice System. Satellite-Based Anomaly Detection for Agricultural Monitoring Using Autoencoder. Support Vector Machine-Based Land Cover Classification Using Fused Hyperspectral and LiDAR Data. Anomaly Detection in Cloud Storage: A Systematic Survey of Models, Datasets, and Metrics for DDoS Precursor and Insider Threat Identification. Smart Computational Framework for Hand Gesture Recognition Using MediaPipe in Therapeutic and Training Applications. Adaptive Edge Offloading Framework for Efficient Congestion Management in mMTC Systems. Harmonizing Human and Machine: A Verification Loop for Enterprise Safety Systems. Value-Weighted Graph Embeddings: A Hybrid Framework for High-Precision Ethereum Phishing Detection. Attention-Enhanced ResNet for Fire, Smoke, and Normal Image Multi-Class Classification. An Explainable Voting Ensemble Framework for Robust Diabetes Prediction Using SHAP and LIME-Based Interpretability. Designing Scalable and Resilient Software Architectures for Juice Production in the Age of Industry 4.0. Artificial Intelligence Trends for Automatically Identifying Hate Speech on Social Media Networks. Machine Learning-Based Prediction of Typhoid Incidence Using Clinical and Environmental Characteristics. Explainable AI in Diabetic Retinopathy Diagnosis: CNN-Based Detection with Gradient-Weighted Class Activation Mapping. A Novel Framework for LGB Model-Based Approach for Malware Detection by Analyzing the Ember Dataset. Multi-Omics Integration in Leukemia Detection Using Multimodal Deep Learning Architectures. Unsupervised Deep Learning for Granular Strategic Insight: The Autoencoder Approach. Yolov8 Detection of Deviant Behavior in the Crowded Campus. AI-Powered Regression Approaches for Early Prediction of Blood Glucose and Blood Pressure. Explainable Prognostic Modelling for Glioma Using Interpretable Machine Learning Techniques. Automating Precision Agriculture with Deep Learning and Image Analysis. Hybrid Feature Selection Using Nature-Inspired Algorithms for Accurate Lower Back Pain Diagnosis. Comparative Study of Chatbots for College Campus Applications: Evaluating Knowledge Base Quality and Platform Performance. Multi-Class Anomaly Detection in Network Traffic Using Supervised Learning. Machine Learning-Driven Personalization in E-Commerce: Enhancing Recommendation Systems for Optimal User Engagement. Predictive Analysis of Cardiovascular Disease: A Future Direction. Comparative Analysis and Implementation of Malware Detection in Android Using Machine Learning. Student Grade Prediction Using Moth-Flame Optimization and Machine Learning. Exploring Instance Segmentation and Defect Detection Across Varied Textured Surfaces: A Comprehensive Study. GAN-Driven Data Augmentation for Enhanced Diabetic Retinopathy Classification Using Deep Learning Frameworks. Use of AIoT Approaches in Precision Agriculture. Minimising Outage Probability in MIMO-UWOC Systems Using Alternating Metaheuristic Power Allocation. Intelligent Stroke Risk Assessment System (ISRAS). Evaluating the Influence of Intelligent Personalization on Consumer Buying Patterns in Digital Commerce. A Stacked Learning Approach to Intrusion Detection for Robust Network Protection. A Scalable RPA-Enabled Incremental Learning Framework for Course-Specific Student Performance Prediction. Transformer-Multi Model-Guided Generative Adversarial Network for Face Occlusion Removal. Comparative Study of Diffusion Models and GANs for Synthetic Retinal Image Generation. Role of Healthcare 5.0 in Society 5.0. Blockchain Security: Review, Research Challenges and Future Prospects. Impact of Online Credible Review and Customer Purchase Intention: A Case Study of Cambodia. Improved Spam Identification Using a Hybrid Neural-Fuzzy-Wrapper Architecture with Statistical Superiority and Programmatic Noise Alleviation. UniBlend: A Hybrid Machine Learning Ensemble for Accurate and Robust Breast Cancer Diagnosis. GreenEdge: Leveraging Edge-Enabled Big Data Pipelines and Cloud Orchestration for Real-Time Environmental Monitoring